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Justin D. L. Ho

4 accepted papers

2020

Eye-in-Hand Visual Servoing Enhanced With Sparse Strain Measurement for Soft Continuum Robots

RA-L 2020

In the feature/object tracking of eye-in-hand visual servoing, 2D motion estimation relying only on image plane feedback is easily affected by vision occlusion, blurring, or poor lighting. For the commonly-used template matching method, tracking performance greatly depends on the image quality. Fibe

Cited by 63SourceScholar
2019

Real-Time Surface Shape Sensing for Soft and Flexible Structures Using Fiber Bragg Gratings

RA-L 2019

In this letter, we present a new soft and flexible sensor which can reconstruct its surface shape in real time. A single-core optical fiber with fiber Bragg gratings (FBGs) is capable of detecting sparse local strains at high bandwidth using wavelength-division multiplexing. The fiber was embedded i

Cited by 58SourceScholar
2019

Vision-Based Online Learning Kinematic Control for Soft Robots Using Local Gaussian Process Regression

RA-L 2019

Soft robots, owing to their elastomeric material, ensure safe interaction with their surroundings. These robot compliance properties inevitably impose a tradeoff against precise motion control, as to which conventional model-based methods were proposed to approximate the robot kinematics. However, t

Cited by 104SourceScholar
2018

Compact Design of a Hydraulic Driving Robot for Intraoperative MRI-Guided Bilateral Stereotactic Neurosurgery

RA-L 2018

In this letter, we present an intraoperative magnetic resonance imaging (MRI)-guided robot for bilateral stereotactic procedures. Its compact design enables robot's operation within the constrained space of standard imaging head coil. magnetic resonance (MR) safe and high-performance hydraulic trans

Cited by 53SourceScholar